Gregarius » éléments par Matt Matsui

Canaux

108375 éléments (108375 non lus) dans 10 canaux

Actualités (48730 non lus)

• 01net. Actualités (48730 non lus)

Hoax (65 non lus)

• Top dix quotidien Sophos des canulars (65 non lus)

Logiciels (39066 non lus)

• BetaNews.Com (34382 non lus)
• Presence PC - Actualité Logiciels, jeux vidéos (3551 non lus)
• LeMondeInformatique.fr : Actualités Applications (1133 non lus)

Sécurité (1668 non lus)

• Actualités Sécurité Informatique (406 non lus)
• Les Nouvelles.net : sécurité informatique. (1262 non lus)

Referencement (18846 non lus)

• Secrets2moteurs (11746 non lus)
• Referencement Google WebRankInfo (2255 non lus)
• Abondance (4845 non lus)

éléments par Matt Matsui

BetaNews.Com

• 

  Three areas every business can apply analytics to in order to avoid regulatory trouble

  Publié: octobre 4, 2016, 1:32pm CEST par Matt Matsui

  Every business leader understands the importance of regulatory compliance and is aware of how dire the consequences can be if an organization is found to be out of compliance. With stringent regulations enforcing compliance, such as HIPAA or Sarbanes-Oxley, it’s imperative that companies maintain strict procedures to avoid facing potential fines or lawsuits, and risking consumer distrust. Any one of these factors can seriously threaten the long-term viability of the brand. However, implementing the right infrastructure and policies to adhere to these requirements is a challenge that every company faces. With the hundreds, if not thousands, of customer interactions and… [Continue Reading]
• 

  The data whisperer -- Why you need one, and why it's not your data scientist

  Publié: juillet 11, 2016, 2:39pm CEST par Matt Matsui

  Data scientists can do no wrong, at least in the eyes of the companies that are clamoring to hire them. Every company wants them so they can use data to better understand and predict customer behavior. It’s why Glassdoor named data scientists as 2016’s hottest job. However, what many organizations don’t realize is that a data scientist only sees part of the equation. Identifying and understanding patterns and using algorithms are a great start, but they aren’t the silver bullet businesses are looking for to instantly turn their data into insights that improve the customer experience. Companies must look beyond… [Continue Reading]